Qingyang Yin 尹清扬

Ph.D. in Computational Biology and Bioinformatics

Department of Quantitative and Computational Biology

University of Southern California

Email: qyyin0516 [at] gmail.com

LinkedIn  /  Google Scholar  /  GitHub

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Short Bio
I received my Ph.D. in Computational Biology and Bioinformatics from the University of Southern California in 2026, advised by Prof. Liang Chen. My research focuses on developing explainable AI methods to analyze high-throughput sequencing and functional genomics data.

I received my B.E. degree from Xiamen University with a major of Automation in 2021, advised by Prof. Jinting Guan.

I was born in Qingdao, a beautiful coastal city in China.
Education
Ph.D. in Computational Biology and Bioinformatics, University of Southern California, 2021.8-2026.5

Exchange student, University of California, Berkeley, 2019.8-2019.12

B.E. in Automation, Xiamen University, 2017.9-2021.6
Publications
xNNPCD identifies regulators of programmed cell death by integrating perturbation transcriptomes with cancer dependency profiles xNNPCD identifies regulators of programmed cell death by integrating perturbation transcriptomes with cancer dependency profiles
Qingyang Yin, Liang Chen
NAR Cancer, 2026
Interpretable neural networks prioritize cancer driver genes from genome-wide dependency landscapes Interpretable neural networks prioritize cancer driver genes from genome-wide dependency landscapes
Qingyang Yin, Liang Chen
PLOS Computational Biology, 2026
CellTICS: an explainable neural network for cell-type identification and interpretation based on single-cell RNA-seq data CellTICS: an explainable neural network for cell-type identification and interpretation based on single-cell RNA-seq data
Qingyang Yin, Liang Chen
Briefings in Bioinformatics, 2024
scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq data scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq data
Qingyang Yin, Yang Wang, Jinting Guan, Guoli Ji
Briefings in Bioinformatics, 2022
Cell type-specific predictive models perform prioritization of genes and gene sets associated with autism Cell type-specific predictive models perform prioritization of genes and gene sets associated with autism
Jinting Guan, Yang Wang, Yiping Lin, Qingyang Yin, Yibo Zhuang, Guoli Ji
Frontiers in Genetics, 2021
Awards and Honors
Michael S. Waterman award, 2026

USC Dornsife graduate fellowship, 2021

Outstanding graduate at Xiamen University, 2021

Jixin-Engine special scholarship, 2021

Huang Zhongxian scholarship, 2020

China national scholarship, 2018

Updated October 2026

This theme is adapted from Jon Barron's page .